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Prof. Yan Zi Delves into Rasch Measurement in an Online Lecture at UIII

January 17, 2024

Contributor: Maroof Ahmed | Editor: Supriyono


UIII.AC.ID, DEPOK - The Faculty of Education (FoE) at ÖйúPÕ¾ (UIII) was recently graced by an illuminating online lecture presented by Prof. Yan Zi from The Education University of Hong Kong (EdUHK), who presented an in-depth exploration of Rasch Measurement in educational research, offering a rich discourse on its applications and impact, enhancing the understanding of this crucial assessment tool in educational settings.

Prof. Zi, an esteemed figure in the field of education, commenced his lecture by providing a foundational understanding of Rasch Measurement. "What's Rasch Measurement?" he posed, leading into an extensive discussion about its significance in educational research.

The lecture then transitioned into the practical applications of Rasch Measurement. Prof. Zi highlighted its role in "developing new instruments, vertical scales, path analysis, and classroom testing." He delved into the development of instruments like the Self-assessment Practices Scale (SaPS), which is theory-driven and based on a self-assessment process model. This model, as Prof. Zi explained, follows a cyclical approach to self-assessment, indicating its comprehensive nature.

Providing a more philosophical and technical perspective, Prof. Zi contrasted the Rasch model with the 2P and 3P IRT models. He explained, "In the Rasch model, the data fit the model, whereas in the 2P and 3P IRT models, the model fits the data." This distinction underscores the unique approach of the Rasch model in educational research, emphasizing a more tailored and precise measurement system.

Moreover, Prof. Zi discussed Rasch Measurement's transformative capability, turning ordinal raw scores into interval measures, thereby enabling more precise and meaningful analysis of test results. This transformation is particularly beneficial for generalizing test results, comparing students across different tests, and conducting thorough statistical analyses of educational data.

Prof. Yan Zi's lecture at UIII was a remarkable blend of theoretical knowledge and practical application, offering a comprehensive overview of Rasch Measurement in educational research. His contributions extend beyond the lecture, resonating with the core values of academic rigor and innovation. His guidance and expertise are a significant addition to the field of educational research and measurement, inspiring educators and researchers alike.